Senior Software Engineer

About this role

We are hiring a Senior Software Engineer with deep expertise in AI/ML engineering and data-intensive systems to join our Catastrophic and Risk Solutions team. You will be a key technical contributor on a cross-functional Agile team building cloud-native SaaS platforms that sit at the intersection of cutting-edge science and production software. This role goes beyond traditional full-stack development — you will design and ship AI-powered features, build data pipelines, and architect scalable ML-serving infrastructure on AWS. This role is office-based in our Boston location, which has a flexible hybrid work model.

AI & Data Engineering

- Design, build, and deploy machine learning models and AI-powered features into production SaaS products
- Maintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets
- Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns
- Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality
Own data quality, observability, and monitoring for AI/ML workloads in production

Software Engineering & Architecture

• Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS
• Drive best practices in design, code quality, and system design across the team
• Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment
• Conduct code reviews and mentor team members on engineering standards
• Proactively identify technical risks and communicate them early to course-correct
• Participate in roadmap planning, scoping, and technology feasibility assessments
• Contribute to a culture where solving customer problems is always the highest priority

Required

• B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred
• 5+ years of software eng...